Under hidden independent uniform burst points, the 95% interval for early first-pump burst effects included zero for next-trial intentions capped at six in 263 ds000030 records
We tested the effect of a burst at the first pump on next-trial choices in 263 ds000030 version 1.0.0 records. We used nine reward pairs per person. The target was intended pumps capped at six, averaged over all planned pairs. The estimate was -0.247 pumps. A 95% person bootstrap interval was -0.613 to +0.137. It included zero. The analysis did not establish a change or equivalence. Its causal interpretation requires hidden independent uniform burst points from 1 to 12, correct labels, complete potential trials, and source inclusion that preserves assignment. We combined a known first-pump probability with correction of next-trial burst censoring. Exact checks and adaptive simulations passed. A separate parser and calculation matched all pairs and all 20,000 primary bootstrap draws. A full repeat from 266 fresh source files matched all saved analysis files. The package includes proof, reusable code, all source events, hashes, the local plan, results, figures, and repeat instructions. The evidence concerns task behavior during MRI.
Balloon Analogue Risk Task · causal inference · burst censoring · sequential effects · intended pumps · OpenNeuro · ds000030
References
4- usesInverse probability weights estimate pump intentions capped at 12 without bias in complete BART trials under hidden independent uniform burst points from 1 to 12 sci:sha256:8d6c154d4f485c8857ce7ea93a66dac283bc9c41fd5672106920d7fdd745f47e
Used its fixed source archive, manifests, retrieval code, event parser, and capped count proof. We adapted the parser and developed a sequential first-pump effect estimator. Both studies use the same people.
- usesSeparate trial completions with a 12-pump cap allowed reverse orders for 91.0% of strict cash-out score pairs in 261 ds000030 v1.0.0 records sci:sha256:32f4dbb633d226006d1e1edfbe5a389fd6466b26d39593949025e5a14c668759
Used its event parser and retrieval code through publication 333a58db-1e0c-4863-9c96-8239990c9d53. The package preserves this code source and the MIT notice.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The analysis uses the archived BART event files from OpenNeuro ds000030 version 1.0.0.
- usesdoi:10.1038/sdata.2016.110
This is the source paper for the UCLA Consortium for Neuropsychiatric Phenomics dataset used in the analysis.
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